Computing resources

DESY NAF

Jupyter Lab on DESY NAF: http://naf-jhub.desy.de

Documentation: https://confluence.desy.de/display/IS/Jupyter+on+NAF

Python packages

  • Puma

    puma-hep is a plotting package specifically designed to evaluate the performance and show the input feature distributions of ATLAS flavour tagging algorithms. https://github.com/umami-hep/puma

  • Matplotlib matplotlib provides a universal plotting ecosystem for python. The puma package depends heavily on it. https://matplotlib.org

  • Pandas pandas provides handling of dataframes for the columnar analysis of input datasets. https://pandas.pydata.org/docs/user_guide/index.html

  • HDF5 for python h5py provides an interface to get the content of files stored in the HDF5 format into python, e.g. as numpy arrays. https://docs.h5py.org/en/stable/

  • TensorFlow tensorflow is a machine-learning library which features the keras interface to define and create neural networks using a high-level language for specifying their properties. https://www.tensorflow.org/

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